AlexNet (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "AlexNet" in Italian language version.

refsWebsite

Global rank Italian rank

7doi.org

2^nd place

7^th place

3worldcat.org

5^th place

26^th place

2unibo.it

4,963^rd place

325^th place

2nih.gov

4^th place

9^th place

2lecun.com

low place

2idsia.ch

low place

1qz.com

1,110^th place

2,209^th place

1nips.cc

low place

1image-net.org

low place

1scholar.google.com

1,697^th place

4,398^th place

1adeshpande3.github.io

low place

1inria.fr

4,903^rd place

low place

1rub.de

low place

1scholarpedia.org

low place

1arxiv.org

69^th place

235^th place

1oadoi.org

799^th place

22^nd place

1harvard.edu

18^th place

104^th place

1princeton.edu

741^st place

1,601^st place

adeshpande3.github.io

Adit Deshpande, The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3), su adeshpande3.github.io. URL consultato il 4 dicembre 2018.

arxiv.org

Dan Cireșan, Ueli Meier e Jürgen Schmidhuber, Multi-column deep neural networks for image classification, in 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), giugno 2012, pp. 3642–3649, DOI:10.1109/CVPR.2012.6248110, ISBN 978-1-4673-1226-4, OCLC 812295155, arXiv:1202.2745.

doi.org

dx.doi.org

Alex Krizhevsky, Ilya Sutskever e Geoffrey E. Hinton, ImageNet classification with deep convolutional neural networks (PDF), in Communications of the ACM, vol. 60, n. 6, 24 maggio 2017, pp. 84–90, DOI:10.1145/3065386, ISSN 0001-0782 (WC · ACNP).
Jürgen Schmidhuber, Deep Learning, in Scholarpedia, vol. 10, n. 11, 2015, pp. 1527–54, DOI:10.1162/neco.2006.18.7.1527, PMID 16764513.
Dan Cireșan, Ueli Meier e Jürgen Schmidhuber, Multi-column deep neural networks for image classification, in 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), giugno 2012, pp. 3642–3649, DOI:10.1109/CVPR.2012.6248110, ISBN 978-1-4673-1226-4, OCLC 812295155, arXiv:1202.2745.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard e L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition (PDF), in Neural Computation, vol. 1, n. 4, MIT Press - Journals, 1989, pp. 541–551, DOI:10.1162/neco.1989.1.4.541, ISSN 0899-7667 (WC · ACNP), OCLC 364746139.
Yann LeCun, Léon Bottou, Yoshua Bengio e Patrick Haffner, Gradient-based learning applied to document recognition (PDF), in Proceedings of the IEEE, vol. 86, n. 11, 1998, pp. 2278–2324, DOI:10.1109/5.726791. URL consultato il 7 ottobre 2016.
K. Fukushima, Neocognitron, in Scholarpedia, vol. 2, n. 1, 2007, p. 1717, Bibcode:2007SchpJ...2.1717F, DOI:10.4249/scholarpedia.1717.
Kunihiko Fukushima, Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF), in Biological Cybernetics, vol. 36, n. 4, 1980, pp. 193–202, DOI:10.1007/BF00344251, PMID 7370364. URL consultato il 16 novembre 2013.

harvard.edu

adsabs.harvard.edu

K. Fukushima, Neocognitron, in Scholarpedia, vol. 2, n. 1, 2007, p. 1717, Bibcode:2007SchpJ...2.1717F, DOI:10.4249/scholarpedia.1717.

idsia.ch

Dan Cireșan, Ueli Meier, Jonathan Masci, Luca M. Gambardella e Jurgen Schmidhuber, Flexible, High Performance Convolutional Neural Networks for Image Classification (PDF), in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two, vol. 2, 2011, pp. 1237–1242. URL consultato il 17 novembre 2013.

people.idsia.ch

(EN) Jürgen Schmidhuber, History of computer vision contests won by deep CNNs on GPU, su people.idsia.ch, 17 marzo 2017. URL consultato il 14 gennaio 2019.

image-net.org

ImageNet Large Scale Visual Recognition Competition 2012 (ILSVRC2012), su image-net.org.

inria.fr

hal.inria.fr

Kumar Chellapilla, Sidd Puri e Patrice Simard, High Performance Convolutional Neural Networks for Document Processing, in Guy Lorette (a cura di), Tenth International Workshop on Frontiers in Handwriting Recognition, Suvisoft, 2006.

lecun.com

yann.lecun.com

Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard e L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition (PDF), in Neural Computation, vol. 1, n. 4, MIT Press - Journals, 1989, pp. 541–551, DOI:10.1162/neco.1989.1.4.541, ISSN 0899-7667 (WC · ACNP), OCLC 364746139.
Yann LeCun, Léon Bottou, Yoshua Bengio e Patrick Haffner, Gradient-based learning applied to document recognition (PDF), in Proceedings of the IEEE, vol. 86, n. 11, 1998, pp. 2278–2324, DOI:10.1109/5.726791. URL consultato il 7 ottobre 2016.

nih.gov

ncbi.nlm.nih.gov

Jürgen Schmidhuber, Deep Learning, in Scholarpedia, vol. 10, n. 11, 2015, pp. 1527–54, DOI:10.1162/neco.2006.18.7.1527, PMID 16764513.
Kunihiko Fukushima, Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF), in Biological Cybernetics, vol. 36, n. 4, 1980, pp. 193–202, DOI:10.1007/BF00344251, PMID 7370364. URL consultato il 16 novembre 2013.

nips.cc

papers.nips.cc

Alex Krizhevsky, Ilya Sutskever e Geoffrey E. Hinton, ImageNet classification with deep convolutional neural networks (PDF), in Communications of the ACM, vol. 60, n. 6, 24 maggio 2017, pp. 84–90, DOI:10.1145/3065386, ISSN 0001-0782 (WC · ACNP).

oadoi.org

K. Fukushima, Neocognitron, in Scholarpedia, vol. 2, n. 1, 2007, p. 1717, Bibcode:2007SchpJ...2.1717F, DOI:10.4249/scholarpedia.1717.

princeton.edu

cs.princeton.edu

Kunihiko Fukushima, Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF), in Biological Cybernetics, vol. 36, n. 4, 1980, pp. 193–202, DOI:10.1007/BF00344251, PMID 7370364. URL consultato il 16 novembre 2013.

qz.com

Dave Gershgorn, The data that transformed AI research—and possibly the world, su Quartz, 26 luglio 2017.

rub.de

benchmark.ini.rub.de

(EN) IJCNN 2011 Competition result table, su OFFICIAL IJCNN2011 COMPETITION, 2010. URL consultato il 14 gennaio 2019.

scholar.google.com

AlexNet paper on Google Scholar

scholarpedia.org

Jürgen Schmidhuber, Deep Learning, in Scholarpedia, vol. 10, n. 11, 2015, pp. 1527–54, DOI:10.1162/neco.2006.18.7.1527, PMID 16764513.

unibo.it

acnpsearch.unibo.it

Alex Krizhevsky, Ilya Sutskever e Geoffrey E. Hinton, ImageNet classification with deep convolutional neural networks (PDF), in Communications of the ACM, vol. 60, n. 6, 24 maggio 2017, pp. 84–90, DOI:10.1145/3065386, ISSN 0001-0782 (WC · ACNP).
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard e L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition (PDF), in Neural Computation, vol. 1, n. 4, MIT Press - Journals, 1989, pp. 541–551, DOI:10.1162/neco.1989.1.4.541, ISSN 0899-7667 (WC · ACNP), OCLC 364746139.

worldcat.org

Alex Krizhevsky, Ilya Sutskever e Geoffrey E. Hinton, ImageNet classification with deep convolutional neural networks (PDF), in Communications of the ACM, vol. 60, n. 6, 24 maggio 2017, pp. 84–90, DOI:10.1145/3065386, ISSN 0001-0782 (WC · ACNP).
Dan Cireșan, Ueli Meier e Jürgen Schmidhuber, Multi-column deep neural networks for image classification, in 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), giugno 2012, pp. 3642–3649, DOI:10.1109/CVPR.2012.6248110, ISBN 978-1-4673-1226-4, OCLC 812295155, arXiv:1202.2745.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard e L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition (PDF), in Neural Computation, vol. 1, n. 4, MIT Press - Journals, 1989, pp. 541–551, DOI:10.1162/neco.1989.1.4.541, ISSN 0899-7667 (WC · ACNP), OCLC 364746139.